flexitok/bpe_ltr_rus_Cyrl_8000_v2

Byte-Level BPE Tokenizer: rus_Cyrl (8K)

A Byte-Level BPE tokenizer trained on rus_Cyrl data from Fineweb-2-HQ.

Training Details

Parameter	Value
Algorithm	Byte-Level BPE
Language	rus_Cyrl
Target Vocab Size	8,000
Final Vocab Size	9,020
Pre-tokenizer	custom:rus_Cyrl
Number handling	ltr_3digit
Contraction handling	True
Normalizer	NFC
Special Tokens	<s>, </s>, <pad>, <unk>
Training Shards	2

Usage

from transformers import AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained("flexitok/bpe_ltr_rus_Cyrl_8000_v2")
tokens = tokenizer.encode("Hello, world!")

Files

• tokenizer.json — Full HuggingFace tokenizer
• vocab.json — Vocabulary mapping
• merges.txt — BPE merge rules

Sample Encoding

Text	Tokens	Token IDs
Hello, world! 12345 This is a test. こんにちは	H, ell, o, ,, Ġ, w, or, ld, !, Ġ, 123, 45, Ġ, Th, is, Ġ, is, Ġ, a, Ġ	42, 4278, 81, 14, 223, 89, 863, 5434, 3, 223, 8163, 4465, 223, 5553, 1113, 223, 1113, 223, 67, 223